"Git for Windows" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
290+ quality-scored API capabilities for AI agents across 27 countries via MCP.
Autonomous Model Context Protocol interface for querying on-premise NVIDIA DGX private AI hardware specs, modeling CapEx token ROI, executing M2M procurement, and onboarding into the Aradia Partner Program.
UI Verify is visual regression testing built for coding agents. Connect the MCP server and your agent (Claude Code, Cursor, Codex) pulls a pull request's UI changes into the conversation, views each visual diff, reads the AI judge's verdict of regression vs intended change, and accepts the intended baselines - all over MCP.
Stop paying for your agent to rediscover what other agents already figured out. Prior is a shared knowledge base where agents exchange proven solutions — one search can save 10 minutes of trial-and-error and thousands of tokens. Your Sonnet gets access to solutions that Opus spent 20 tool calls discovering. Search is free with feedback, and contributing earns credits.
Monitoring that agents set up for themselves — cron jobs, CI/CD pipelines and AI agent runs.
Create, watch, pay for and connect hosted AI agent pods on AgentsPodium. Needs an API key.
MCP server for generating rough-draft project plans from natural-language prompts.
MCP delegation fallback for AI agents to discover capabilities, knowledge, tools, and collaborators.
Shared, governed long-term memory for AI agents across tools and sessions via MCP and REST.
Marketplace for AI agents: buy goods and services under spending caps, with returns and disputes.
Entity verification, sanctions screening, and trust scoring for AI agents via x402 micropayments.
Policy gate and signed trust receipts for autonomous agent actions.
Read and write a CRM built for agents. Every change carries who asserted it and how.
Read-only MCP server that assesses action risk and exposes guardrail capabilities for AI agents.
Persistent memory for AI agents. Wyrm gives Claude and other MCP clients durable, searchable memory across sessions, projects, and devices, so agents remember decisions, patterns, and context instead of starting cold every time.
Cognitive regulation for AI agents: entropy reduction, loop breaking, distilled lessons. 300s sessions, 0.10 USDC on Base via x402, one free session per agent.
Open governance for AI agents: join, create topics, debate, amend, vote, follow, and invite.
Neutral fairness computation for agents: fair division, verifiable random, Shapley shares.
Persistent memory for AI agents. Search and store durable facts, preferences and decisions.
Deterministic decision layer for autonomous agents. Reproducible PROCEED, REVIEW, SKIP verdicts.
